Bisutti V, Pegolo S, Giannuzzi D, Mota L F M, Vanzin A, Toscano A, Trevisi E, Ajmone Marsan P, Brasca M, Cecchinato A
Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale dell' Università 16, 35020, Legnaro PD, Italy.
Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale dell' Università 16, 35020, Legnaro PD, Italy.
J Dairy Sci. 2022 May;105(5):3794-3809. doi: 10.3168/jds.2021-21537. Epub 2022 Mar 2.
Milk proteins genetic variants have long attracted interest as they are associated with important issues relating to milk composition and technological properties. An important debate has recently opened at an international level on the role of β-casein (β-CN) A1 and A2 polymorphisms, toward human health. For this reason, a lot of efforts has been put into the promotion of A2 milk by companies producing and selling A1-free milk, leading the farmers and breeders to switch toward A2 milk production without paying attention on the potential effect of the processability of milk into cheese. The aim of the present work was to evaluate the effects of β-CN, specifically the A1 and A2 allelic variants, on the detailed milk protein profile and cheese-making traits in individual milk samples of 1,133 Holstein Friesian cows. The protein fractions were measured with reversed-phase (RP)-HPLC (expressed in g/L and % N), and the cheese-making traits, namely milk coagulation properties, cheese yield, and curd nutrient recoveries assessed at the individual level, with a nano-scale cheese-making procedure. The β-CN (CSN2), κ-CN (CSN3), and β-lactoglobulin (LGB) genetic variants were first identified through RP-HPLC and then confirmed through genotyping. Estimates of the effects of protein genotypes were obtained using a mixed inheritance model that considered, besides the standard nuisance variables (i.e., days in milk, parity, and herd-date), the milk protein genes located on chromosome 6 (CSN2, CSN3) and on chromosome 11 (LGB), and the polygenic background of the animals. Milk protein genes (CSN2, CSN3, and LGB) explained an important part of the additive genetic variance in the traits evaluated. The β-CN A1A1 was associated with a significantly lower production of whey proteins, particularly of β-lactoglobulin (-8.2 and -6.8% for g/L and % N, respectively) and α-lactalbumin (-4.7 and -4.4% for g/L and % N, respectively), and a higher production of β-CN (6.8 and 6.1% for g/L and % N, respectively) with respect to the A2A2 genotype. Regarding milk cheese-making ability, the A2A2 genotype showed the worst performance compared with the other genotypes, particularly with respect to the BA1, with a higher rennet coagulation time (7.1 and 28.6% compared with A1A1 and BA1, respectively) and a lower curd firmness at 30 min. Changes in milk protein composition through an increase in the frequency of the A2 allele in the production process could lead to a worsening of the coagulation and curd firming traits.
乳蛋白基因变异长期以来一直备受关注,因为它们与牛奶成分和工艺特性等重要问题相关。最近,一场关于β-酪蛋白(β-CN)A1和A2多态性对人类健康作用的重要辩论在国际层面展开。因此,生产和销售不含A1牛奶的公司大力推广A2牛奶,导致农民和养殖者转向A2牛奶生产,而没有关注牛奶加工成奶酪过程中的潜在影响。本研究的目的是评估β-CN,特别是A1和A2等位基因变体,对1133头荷斯坦弗里生奶牛个体牛奶样本中详细的乳蛋白谱和奶酪制作特性的影响。蛋白质组分通过反相(RP)-HPLC进行测定(以g/L和%N表示),奶酪制作特性,即牛奶凝固特性、奶酪产量和凝乳营养回收率,通过纳米级奶酪制作程序在个体水平上进行评估。首先通过RP-HPLC鉴定β-CN(CSN2)、κ-CN(CSN3)和β-乳球蛋白(LGB)基因变异,然后通过基因分型进行确认。使用混合遗传模型获得蛋白质基因型效应的估计值,该模型除了考虑标准的干扰变量(即产奶天数、胎次和牛群日期)外,还考虑位于6号染色体上的乳蛋白基因(CSN2、CSN3)和位于11号染色体上的乳蛋白基因(LGB)以及动物的多基因背景。乳蛋白基因(CSN2、CSN3和LGB)解释了所评估性状中加性遗传方差的重要部分。与A2A2基因型相比,β-CN A1A1与乳清蛋白产量显著降低相关,尤其是β-乳球蛋白(g/L和%N分别降低8.2%和6.8%)和α-乳白蛋白(g/L和%N分别降低4.7%和4.4%),而β-CN产量更高(g/L和%N分别提高6.8%和6.1%)。关于牛奶制作奶酪的能力,与其他基因型相比,A2A2基因型表现最差,特别是与BA1相比,凝乳酶凝固时间更长(分别比A1A1和BA1高7.1%和28.6%),30分钟时凝乳硬度更低。在生产过程中通过增加A2等位基因频率来改变乳蛋白组成可能会导致凝固和凝乳硬度性状变差。